Applied Data Science COVID-19 data analysis

Applied Data Science COVID-19 dataanalysis

What you'll learn

·         Data Science project applied on COVID 19 data, understanding spread of the virus

·         Data Science best practices from industry with full project walkthrough from setting up a project to delivery

·         Python with machine learning, plotly, Facebook Prophet, dynamic dash-boards, SIR epidemic simulations, Tableau Dashboards

Requirements

·         Python basics

·         Math basics

Description

The goal of this lecture is to transport the best practices of data science from the industry while developing a COVID-19 analysis prototype

The student should learn the process of modeling (Python) and a methodology to approach a business problem.

The final result will be a dynamic dashboard - which can be updated by one click - of COVID-19 data with filtered and calculated data sets like the current Doubling Rate of confirmed cases

Techniques used are REST Services, Python Pandas, scikit-learn, Facebook Prophet, Plotly, Dash, + bonus section Tableau

For this, we will follow an industry-standard  process by focusing on the iterative nature of agile development

·         Business understanding (what is our goal)

·         Data Understanding (where do we get data and cleaning of data)

·         Data Preparation (data transformation and visualization)

·         Modeling (Statistics, Machine Learning, and SIR Simulations on COVID Data)

·         Deployment (how to deliver results, dynamic dashboards in python and Tableau)

Who this course is for:

·         Beginner data science

·         Practitioners with basic understanding of Python

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